waterloo, on cloud engineer Jobs – 116 Openings This Week

Principal Firmware Engineer, AI Platform
onsemi —Waterloo, ON
- Full-time
- Recruiting
- AI
Platform Engineer
Eclipse Automation —Cambridge, ON
- $120,000–$135,000 a year
- Full-time
- Azure
- DevOps
- In-person
- Dental care
- Vision care
Quick apply
Senior AI Platform Engineer
Alpaca —Waterloo, ON
- Remote
- DevOps
- APIs
- AI
Quick apply
Senior Software Developer, AI/ML, Conversational Insights
Google —Waterloo, ON
- $182,000–$187,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
3d
Staff Engineer - Open Source Data Platform (ODP)
Acceldata —Kitchener, ON
- Full-time
- Microsoft Excel
- Azure
- Oracle
- Dental care
- Paid time off
Expert MDM Engineer
Maplesoft Group —Guelph, ON
- $100,000–$110,000 a year
- Hybrid work
- Azure
- DevOps
- English
Field Engineering Co-Op
Acceldata —Kitchener, ON
- $20–$30 an hour
- Full-time
- Oracle
- Computer Science
- Engineering
Principal Engineer - Open Source Data Platform (ODP)
Acceldata —Kitchener, ON
- Full-time
- Microsoft Excel
- Oracle
- Doctoral degree
- Dental care
- Paid time off
Software Engineering Manager
Schema App —Guelph, ON
- $170,000–$200,000 a year
- Full-time
- Remote
- Bar
- DevOps
- APIs
Quick apply
Senior Embedded Developer
Planitar —Waterloo, ON
- $112,000–$134,000 a year
- Full-time
- Hybrid work
- AWS
- C++
- APIs
- Dental care
Quick apply
11d
Principal AI Developer
OpenText —Waterloo, ON
- Bilingual
- Azure
- Computer Science
- Paid time off
SDK Developer - Unity C++ and Computer Graphics
Mawari Technologies —Waterloo, ON
- $110,000–$150,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Dental care
- Flexible schedule
Quick apply
Full Stack Developer
Schema App —Guelph, ON
- $100,000–$120,000 a year
- Full-time
- Remote
- AWS
- JavaScript
Quick apply
Senior Data Engineer
Alpaca —Waterloo, ON
- Remote
- DevOps
- SQL
- APIs
Quick apply
Job Captain - Architectural
New Generation Design Wave —Waterloo, ON
- $84,000–$110,000 a year
- Full-time
- AutoCAD
- Microsoft Office
- Project management
- Dental care
- Employee assistance program
Quick apply
AI Software Lead
Ironbelly Studios —Waterloo, ON
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Lead Telecom Engineer - Electrical Utilities
CIMA+ —Guelph, ON
- $108,080–$148,610 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Programmable logic controllers
- Employee assistance program
- Flexible schedule
Quick apply
Technical Architect & Engineering Lead
Bridgeport Crew —Kitchener, ON
- $70,000–$100,000 a year
- Azure
- DevOps
- System design
Quick apply
Unreal Engine C++ XR Developer II
Mawari Technologies —Waterloo, ON
- $100,000–$150,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Dental care
- Flextime
Quick apply
Senior Electrical Designer
Engineered Lifting Systems & Equipment, Inc. (CA) —Elmira, ON
- $72,347–$132,636 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
Quick apply
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Principal Firmware Engineer, AI Platform

onsemi -
Waterloo, ON

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Job details

Full-time

Qualifications

TensorFlow
PyTorch
Firmware
Recruiting
AI

Full job description

We are looking for a Principal Firmware Engineer to lead the integration and control of our next-generation AI accelerators. As our products evolve to include dedicated neural network hardware, the challenge shifts from pure algorithm implementation to complex hardware orchestration.

This role is about more than just writing kernels; it’s about defining the firmware layer that sits between high-level AI frameworks and our custom silicon. You will be responsible for how our DSPs manage, schedule, and feed data to these accelerators. We need a veteran who can look at a PyTorch model and determine the best way to tile memory, manage DMA transfers, and synchronize processing to ensure we hit our ultra-low-power targets while maximizing throughput. You will also be the primary technical voice influencing our future hardware specs to ensure our accelerators are actually "firmware-friendly."

Responsibilities

Architect Accelerator Orchestration: Define and implement the firmware control logic, drivers, and scheduling required to manage dedicated neural network accelerators from the DSP/MCU.
Bridge the AI Flow: Develop the toolchain strategy that translates PyTorch/TensorFlow models into optimized hardware-specific instructions and memory layouts.
Optimize Data Movement: Design efficient DMA and memory tiling strategies to minimize power consumption and latency when moving data between memory and AI hardware blocks.
Influence Silicon Design: Serve as the lead firmware stakeholder in hardware/software co-design, ensuring that future hardware accelerators have the right registers, interrupts, and memory interfaces for efficient control.
Customer Technical Interface: Act as the "deep-tech" lead for customers, providing the architectural guidance they need to deploy sophisticated models on our specific hardware/firmware stack.
Performance Bottleneck Analysis: Identify and resolve performance gaps in the interaction between the DSP and the accelerator, moving beyond "it works" to "it's optimal."
Technical Mentorship: Lead the broader firmware team in modern AI deployment techniques, setting the standard for production-quality, hardware-abstracted code.

Qualifications

Must-Haves:

15+ years of firmware development experience , with a heavy focus on hardware/software co-design and controlling custom accelerators or NPUs.
Deep Hardware Interfacing Knowledge: Expert-level understanding of DMA, memory-mapped I/O, interrupts, and synchronization between CPU/DSP and specialized hardware blocks.
AI Framework Literacy: Strong grasp of the PyTorch/TensorFlow ecosystem and how high-level graphs are lowered and quantized for embedded deployment.
Bare-Metal Mastery: Expert-level C and a "thinking in hardware" mindset; you should be comfortable reading a hardware spec and identifying the firmware bottlenecks before the silicon is even made.
Resource-Constrained Optimization: Proven experience squeezing performance out of systems with very limited memory (KB) and strict power budgets.
Communication: Ability to explain complex hardware-to-firmware trade-offs to senior leadership and provide technical leadership across cross-functional teams.

Nice-to-Haves:

Experience building or using AI compilers or toolchains (e.g., TVM, MLIR, or custom IRs).
Background in ultra-low-power DSPs (audiology, wearables, or medical devices).
Experience with ARM Cortex-M or proprietary DSP architectures and their specific bus protocols.
Knowledge of fixed-point arithmetic and its impact on neural network performance and power.

About Us

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

About the Team

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] for assistance.

Apply Now

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cloud engineer jobs in waterloo, on

Principal Firmware Engineer, AI Platform

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Lead Telecom Engineer - Electrical Utilities

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